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Remote Data Engineer Jobs in Columbia, SC (NOW HIRING)

Unum UK

Data Scientist II - CX Analytics

Columbia, SC · On-site +1

... Engineers to ensure analyses are grounded in reliable data and effectively operationalized. The ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Motorola

Senior DevOps Engineer (US REMOTE)

Lexington, SC · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Government Contract Mandates and access to sensitive public safety data. * Experience with ...

Brave

Quality Assurance Engineer

North, SC · Remote

$90K - $130K/yr

Quality Assurance Engineer Remote - Restricted to North America About Brave Brave is on a mission ... Big Tech makes huge profits off our data, and tells us what's true and what's not. Brave is ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Columbia, SC

Remote Data Engineer information

See Columbia, SC salary details

$41.2K

$120K

$164.2K

How much do remote data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote data engineer in Columbia, SC is $120,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $127,200.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Columbia, SC?

The most popular types of Data Engineer jobs in Columbia, SC are:

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For Remote Data Engineer jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Columbia, SC look for?

The top searched job categories for Remote Data Engineer jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Remote Data Engineer jobs?

Cities near Columbia, SC with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $105,920 per year, or $50.9 per hour.

Principal Azure Cloud and Integration Architecture : Columbia SC

Software People, Inc.

Columbia, SC • Remote

Contractor

Posted 25 days ago

Job description

Please Let me know your Interest and rate for this position.

Phone/Skype Hire or in person if local.

Remote, with on-site attendance at the offices in Columbia, SC as required by project needs. The consultant should anticipate being on-site approximately 2-4 business days per month, or more frequently as directed by the leadership.

Location: Columbia SC

Duration: 12+ months

Requires a Principal Azure Cloud and Integration Architecture with extensive experience designing, implementing, and governing enterprise-scale cloud solutions. This resource will provide senior-level architecture leadership for modernization initiatives, including the development of a cloud-native integration platform supporting integrations between statewide agencies,  and enterprise business applications.

The consultant will provide technical architecture expertise across Azure cloud services, enterprise integration patterns, API management, data platforms, DevOps practices, and cloud governance. This role will work closely with enterprise architects, application teams, infrastructure teams, cybersecurity, vendors, and business stakeholders to ensure solutions are scalable, secure, maintainable, and aligned with enterprise technology strategy.

Responsibilities

•             Lead the architecture, design, and implementation of a modern Azure cloud-native integration platform supporting statewide agencies, SCEIS, and enterprise HR and ERP systems.

•             Establish scalable integration patterns using APIs, event-driven architecture, asynchronous messaging, and cloud-native Azure services.

•             Design and guide implementation of a statewide Azure data lake and supporting data engineering capabilities.

•             Provide technical leadership for DevOps, GitOps, CI/CD, security, observability, and operational readiness.

•             Define architecture standards, technical patterns, and governance practices that support secure, reliable, and maintainable enterprise solutions.

•             Mentor developers, engineers, and architects while supporting knowledge transfer and long-term internal capability development.

Skills Needed

  • Minimum of 10 years of experience designing, developing and implementing enterprise technology solutions.
  • Minimum of 7 years of experience designing and implementing cloud solutions and cloud-native architectures using Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), or comparable enterprise cloud platforms.
  • Demonstrated experience designing enterprise integration solutions utilizing REST APIs, event-driven architecture, asynchronous messaging, and distributed systems.
  • Experience designing and implementing enterprise data platforms using cloud-based data lake, analytics, or data engineering technologies.
  • Experience with Infrastructure-as-Code (IaC), CI/CD pipelines, DevOps practices, and development automation using tools such as Terraform, Bicep, ARM templates, or equivalent technologies.
  • Strong understanding of cloud security, identity and access management, scalability, performance optimization, monitoring, and operational support.
  • Experience establishing cloud architecture standards, technical design pattern, governance practices, and solution documentation.          
  • Experience integrating SAP, SAP S/4HANA, ERP platforms, HR systems, or enterprise financial applications.
  • Experience supporting large-scale government, public-sector, or highly regulated technology environments.
  • Experience with Azure API Management, Azure Functions, Logic Apps, Event Grid, Ivalua, or other ERP systems.
  • Experience establishing enterprise architecture standards, cloud governance practices, and technical design patterns.
  • Microsoft Azure, TOGAF, or comparable cloud and enterprise architecture certifications.

Required Education:

Bachelor’s degree in Computer Science, Information Technology, Engineering Data Science, or a related technical field. An equivalent combination or relevant education, professional certifications, and progressively responsible experience may be considered in lieu of the degree requirement.       Required / Preferred Certifications:

Preferred:

•             Azure Solutions Architect Expert

•             Azure Developer Associate

•             Azure Data Engineer Associate

•             TOGAF or equivalent Enterprise Architecture certification